Results 21 to 30 of about 1,415,945 (160)
Estimation of a sparse group of sparse vectors [PDF]
, 2012 We consider a problem of estimating a sparse group of sparse normal mean vectors. The proposed approach is based on penalized likelihood estimation with complexity penalties on the number of nonzero mean vectors and the numbers of their "significant ...
Abramovich, Felix, Grinshtein, Vadim
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Sparse Schrödinger Operators [PDF]
Reviews in Mathematical Physics, 1997 We study spectral properties of a family [Formula: see text], indexed by a non-negative integer p, of one-dimensional discrete operators associated to an ergodic dynamical system (T,X,ℬ,μ) and defined for u in ℓ2(ℤ) and n in ℤ by [Formula: see text], where Vx(n)=f(Tnx) and f is a real-valued measurable bounded map on X.
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Coloring Sparse Hypergraphs [PDF]
SIAM Journal on Discrete Mathematics, 2016 Fix $k \geq 3$, and let $G$ be a $k$-uniform hypergraph with maximum degree $ $. Suppose that for each $l = 2, ..., k-1$, every set of l vertices of G is in at most $ ^{(k-l)/(k-1)}/f$ edges. Then the chromatic number of $G$ is $O( ( /\log f)^{1/(k-1)})$. This extends results of Frieze and the second author and Bennett and Bohman.
Cooper, Jeff, Mubayi, Dhruv
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Image Extrapolation Using Sparse Methods
Communications, 2013 Image extrapolation is the specific application in image processing. You have to extrapolate the image for example when you want to process the given image piecewise.
Jan Spirik, Jan Zatyik
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A Combinatorial Problem Related to Sparse Systems of Equations [PDF]
, 2015 Nowadays sparse systems of equations occur frequently in science and engineering. In this contribution we deal with sparse systems common in cryptanalysis.
Horak, Peter, Semaev, Igor, Tuza, Zsolt
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Sensors, 2016 The detection of a moving target using an IR-UWB Radar involves the core task of separating the waves reflected by the static background and by the moving target.
Donatien Sabushimike +5 more
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Unsupervised Feature Learning by Deep Sparse Coding [PDF]
, 2013 In this paper, we propose a new unsupervised feature learning framework, namely Deep Sparse Coding (DeepSC), that extends sparse coding to a multi-layer architecture for visual object recognition tasks.
He, Yunlong +4 more
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GNSS Signal Acquisition Algorithm Based on Two-Stage Compression of Code-Frequency Domain
Applied Sciences, 2022 The recently-emerging compressed sensing (CS) theory makes GNSS signal processing at a sub-Nyquist rate possible if it has a sparse representation in certain domain.
Fangming Zhou +6 more
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Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling [PDF]
, 2014 We frame the task of predicting a semantic labeling as a sparse reconstruction procedure that applies a target-specific learned transfer function to a generic deep sparse code representation of an image.
Maire, Michael +2 more
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A Sparse Denoising-Based Super-Resolution Method for Scanning Radar Imaging
Remote Sensing, 2021 Scanning radar enables wide-range imaging through antenna scanning and is widely used for radar warning. The Rayleigh criterion indicates that narrow beams of radar are required to improve the azimuth resolution.
Qiping Zhang +4 more
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